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nexus-worldmodel-v2

Reinforcement Learning
PyTorch
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nexus-worldmodel
world-model
cognitive-architecture
earcp
lpol
gqa
neurogenesis
custom_code
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xet
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nexus-worldmodel-v2
File size: 1,497 Bytes
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{
  "version": "2.0",
  "state_type": "cognitive",
  "components": {
    "neurogenesis": {
      "n_neurons": 32,
      "births": 0,
      "deaths": 32
    },
    "energy": {
      "energy": 0.05004558339715004,
      "consumed": 1214.7626953125
    },
    "dream": {
      "total_dreams": 1,
      "buffer_size": 256,
      "is_dreaming": true
    },
    "earcp_layers": [
      {
        "layer_idx": 0,
        "expert_count": 12,
        "low_coh_count": 59250
      },
      {
        "layer_idx": 1,
        "expert_count": 12,
        "low_coh_count": 60225
      },
      {
        "layer_idx": 2,
        "expert_count": 12,
        "low_coh_count": 61291
      },
      {
        "layer_idx": 3,
        "expert_count": 12,
        "low_coh_count": 61188
      },
      {
        "layer_idx": 4,
        "expert_count": 12,
        "low_coh_count": 82170
      },
      {
        "layer_idx": 5,
        "expert_count": 12,
        "low_coh_count": 58855
      },
      {
        "layer_idx": 6,
        "expert_count": 12,
        "low_coh_count": 56207
      },
      {
        "layer_idx": 7,
        "expert_count": 12,
        "low_coh_count": 78734
      }
    ],
    "self_trace": {
      "identity_norm": 0.11626036465167999,
      "n_traces": 84975
    },
    "memory": {
      "st_norm": 5.097438812255859,
      "lt_norm": 5.5504255294799805
    }
  },
  "training_summary": {
    "epochs_completed": 6,
    "final_loss": 0.01724659317859717,
    "total_neurogenesis": 0
  }
}